Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China

Fang, Chuanglin; Pang, Bo; Liu, Haimeng

doi:10.3390/su8060507

Cited by 6 publications

(6 citation statements)

References 38 publications

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“…Most papers focused on the studies related to urban energy performance [60]. The urban energy performance includes urban energy efficiency [49][50][51][52]61], urban sustainability performance [56], urban environmental efficiency [58], and low-carbon ecological city evaluation [42,43,62]. The energy performance studies of different types include three perspectives: energy well-being performance [47], energy security performance [45], and carbon emission performance [59].…”

Section: Literature Reviewmentioning

confidence: 99%

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A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Hajduk

Jelonek

2021

Energies

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This paper presents the use of multi-criteria decision-making (MCDM) for the evaluation of smart cities. During the development of the method, the importance of the decision-making approach in the linear ordering of cities was presented. The method of using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was proposed for the preparation of ranking. The method was verified by the application in the measurement of energy performance in smart cities. The authors conducted a literature review of research papers related to urban energy and MCDM published in the period from 2010 to 2020. The paper uses data from the World Council on City Data (WCCD). The research conducted allowed for the identification of the most popular MCDM techniques in the field of urban energy such as TOPSIS, AHP and DEA. The TOPSIS technique was used to organize and group the analyzed cities. Porto took the top position, whereas Buenos Aries was the last.

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Section: Literature Reviewmentioning

confidence: 99%

“…The key factors include population, area, urbanization, traveling mode, and climate. Source: authors' elaboration on the basis of [33,[41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59].…”

Section: Literature Reviewmentioning

confidence: 99%

A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Hajduk

Jelonek

2021

Energies

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“…Most papers focused on the studies re lated to urban smartness performance [15]. The urban smartness performance obtains ur ban efficiency, urban sustainability performance [16], urban environmental efficienc [17,18] and low-carbon ecological city evaluation [19][20][21][22]. The urban smartness perfo mance studies of different types include three perspectives: well-being performance, u ban security performance and carbon emission performance [23].…”

Section: Multi-mooramentioning

confidence: 99%

“…Source: author's elaboration on the basis of[13,[15][16][17][18][19][20][21][22][23][24][26][27][28][29][30][31][32][33][34].…”

mentioning

confidence: 99%

Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities

Hajduk

2021

Resources

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This paper presents the application of a Multi-Criteria Decision Making (MCDM) method for the ranking of smart cities. During the construction of the MCDM techniques, the importance of the decision-making approach for the linear ordering of 66 Polish cities with powiat status was presented. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used for evaluation. The method has been verified by applying it to measure urban smartness. The TOPSIS method allowed compilation for a final ranking, taking into account publicly available indicators of the smart cities concept. The work uses data from the Local Data Bank Polish Central Statistical Office (LDB). The author conducted a literature review of research papers related to smart cities and MCDM methods dated from 2010 to 2020. Based on calculations using the TOPSIS method, the results obtained that the city of Krakow has the highest value to become a smart city.

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“…The interactions of GDP growth, population immigration from rural to urban areas, industrial development, and national regional strategies have been significantly positive factors for urban expansion in China [4,5,24,51,63,65]. However, the determinants of urban expansion have varied in different regions (Appendix D).…”

Section: Determinants Of Urban Expansion In Different Regions In Chinamentioning

confidence: 99%

Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City

et al. 2017

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Urbanization challenges regional sustainable development, but a slight expansion mechanism was revealed in a plateau city. We have integrated the urban expansion process and analyzed its determinants in Lhasa (Tibet), and we provide insightful suggestions for urban management and planning for Lhasa. The full continuum of the urban expansion process has been captured using time-series of high-resolution remote sensing data . Four categories of potential determinants involved in economic, demographic, social, and government policy factors were selected, and redundancy analysis was employed to define the contribution rates of these determinants. The results illustrate that considerable urban expansion occurred from 1990 to 2015 in Lhasa, with the area of construction land and transportation land increasing at rates of 117.2% and 564.7%, respectively. The urban expansion in the center of Lhasa can be characterized as temperate sprawl from 1990 through 2008, primarily explained by governmental policies and investment, economic development, tourist growth, and increased governmental investment resulting in faster urban expansion from 2008 to 2015, mainly occurring in the east, south, and west of Lhasa. In contrast with other cities of China, central government investment and "pairing-up support" projects have played an important role in infrastructure construction in Lhasa. The miraculous development of the tourism industry had prominent effects on this economic development and urbanization after 2006, due to the running of the Tibetan Railway. An integrative and proactive policy framework, the "Lhasa development model", having important theoretical, methodological, and management implications for urban planning and development, has been proposed.

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Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China

Cited by 6 publications

References 38 publications

A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities

Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City

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